DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING

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Faculty Candidate Seminar by Dr. Alper Köse

13 November 2024
Etkinlik

You are cordially invited to the faculty candidate seminar which will be given by Dr. Alper Köse this Friday on November 15, 2024 at 10:30.

The short information about the seminar, its abstract and the biography of Dr. Köse are given below:

Title: “Age of Information Analysis and Optimization in Wireless Networks”
Place: Electrical and Electronics Engineering  Seminar Room
Date and Time: Friday, November 15, 2024 / 10:30 a.m.

 
Age of Information Analysis and Optimization in Wireless Networks
 
by Dr. Alper Köse
 
EE Seminar Room
Friday, November 15, 2024 / 10:30 a.m.
 
Abstract
 
The Age of Information (AoI) has emerged as a crucial metric in wireless communication systems, representing the freshness of information. This seminar will present research on optimizing AoI within wireless networks to enhance the timeliness and reliability of information delivery. The session will begin with a review of AoI concepts and their significance in modern wireless systems.
 
A key focus of the research is the optimization of dynamic user pairing in downlink non-orthogonal multiple access (NOMA) systems. Algorithms designed to minimize information age and maximize network efficiency through dynamic user pairing will be discussed. Furthermore, a novel scheduling strategy for priority-aware Internet of Things (IoT) networks will be introduced, emphasizing the prioritization of data packets to ensure the timely delivery of critical information.
 
The impact of block coding on AoI in centralized IoT systems will also be explored, with an analysis based on binary erasure and binary symmetric channels. The effectiveness of block coding techniques in reducing AoI will be shown via simulation results. Finally, the role of network coding in improving information freshness will be examined, highlighting its potential to optimize AoI in complex network scenarios.
 
This seminar will provide a comprehensive overview of AoI optimization strategies, encompassing algorithmic design, network architecture and coding techniques and will discuss their contributions to the advancement of next-generation wireless communication systems aimed at achieving timely and reliable information delivery.

Biography:

Alper Köse received the B.Sc. degree (Hons.) in electrical and electronics engineering from Bogazici University, Istanbul, Turkey, in 2015, and the M.Sc. degree in electrical and electronics engineering along with a minor in computer science from EPFL, Lausanne, Switzerland. He completed his M.Sc. thesis at the Research Laboratory for Electronics, MIT, Cambridge, USA, in 2017. He received the Ph.D. degree from Bogazici University in 2024, focusing on communications and information theory, especially on age of information optimization in IoT networks. He has several research papers in fields of communications, networking and information theory.